You will be studying only linear scatterplots in this lesson. You will sketch a line of best fit. From points on the line you draw, you will find the equation of the line to make predictions about future events.
View the line of best fit exercise, which will open in a new window/tab. For ease of use, the table has been reformatted below.
Sandwich | Total Fat (g) | Total Calories |
Hamburger | 9 |
260 |
Cheeseburger | 13 |
320 |
Quarter Pounder | 21 |
420 |
Quarter Pounder w/Cheese | 30 |
530 |
Big Mac | 31 |
560 |
Arch Sandwich Special | 31 |
550 |
Arch Special with Bacon | 34 |
590 |
Crispy Chicken | 25 |
500 |
Fish Fillet | 28 |
560 |
Grilled Chicken | 20 |
440 |
Grilled Chicken Light | 5 |
300 |
Copy the "Total Fat (g), Total Calories" data columns in the graph above. Click on the link for the regression activity below and paste the data into the box below the graph, then press Update Plot. Note: If you copy and paste with the sandwhich names included, delete the names before clicking Update Plot.
Go to the Regression Activity.